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Type: Temp (3–6 months) • Location: Remote US TZsRoles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager
What You’ll Do:
  • (90% of your time)
  • Sourcing (high-volume, targeted)
  • Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters).Run 120+ tailored outreaches/week; iterate subject lines/copy; track reply → screen conversion.
  • Deliver 12–20 net-new qualified prospects/week across the four roles.
  • Screening (technical + fit)20–30 min calibration screen: LLM/ML fundamentals (serving, RAG, evals, fine-tuning), systems depth, and product sense.
  • Validate artifacts: repos, papers/preprints, benchmarks, shipped features.
  • Record structured notes to scorecards; advance/decline within 24 hours.
  • Interviewing (structured, signal-rich)
  • Run/host first-rounds and working sessions:
FDE: customer debug + rapid proto scenario. Sr ML: system design for inference/training + MLOps trade-offs. Research/Alignment: paper deep-dive, eval design, interpretability/RLHF discussion.
AI PM: PRD outline + model/metric trade-offs + experiment plan. Keep panels on-script; capture evidence, not vibes.
Must-Haves: 4+ yrs tech recruiting (2+ in AI/ML or deep eng). Comfortable doing first-pass tech screens. Fluency with ATS + LinkedIn Recruiter; hands-on with GitHub search and academic sources. Tight communicator; zero tolerance for sloppy pipelines.

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